Work

The role of phenology in crop yield prediction: Comparison of ground-based phenology and remotely sensed phenology

Year: 2024

Type: article

Source: Agricultural and Forest Meteorology

DOI: 10.1016/j.agrformet.2024.110340

Authors: Jie Pei, Shaofeng Tan, Yaopeng Zou, Chunhua Liao, Yinan He, Jian Wang, Huabing Huang, Tianxing Wang, Haifeng Tian, Huajun Fang, Li Wang, Jianxi Huang

Institutions: Sun Yat-sen University, Ministry of Natural Resources, Lawrence Berkeley National Laboratory, Chinese Academy of Sciences, Aerospace Information Research Institute, Institute of Geographic Sciences and Natural Resources Research, State Key Laboratory of Remote Sensing Science, Ministry of Agriculture and Rural Affairs, Southwest Jiaotong University, China Agricultural University, Henan University

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

Funders: National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G3563991433, G69455551, G819497234

OpenAlex ID: W4404880194

FWCI: 20.61

Cites: 61

Cited by: 75

Related to: 10